Note: The job is a remote job and is open to candidates in USA. Endava is a technology consulting company that partners with brands to create digital platforms and intelligent experiences. The Principal Data & AI Consultant will advise executive stakeholders, lead Data & AI discovery and architecture, and deliver production-ready forecasting, analytics, machine learning, and AI solutions. The role also involves client workshops, proposal support, team leadership, mentoring, and knowledge transfer.

Responsibilities

• Serve as a senior trusted advisor to CIO, CTO, CDO, CRO, business, product, and technology stakeholders
• Lead Data & AI discovery and translate ambiguous business problems into measurable, production-ready solutions
• Design end-to-end architectures spanning data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations
• Lead and challenge advanced forecasting and predictive-modeling approaches, including regression, sparse and zero-inflated data, feature design, model selection, tuning, and validation
• Define appropriate business and model success measures, including R², WAPE, MAPE, statistical significance, and business-impact KPIs
• Ensure point-in-time correctness, prevent data leakage, and maintain rigorous model-development and validation practices
• Provide hands-on technical leadership using Python, SQL, Snowflake, notebooks, Git, and modern Data/AI platforms
• Shape AI use cases across forecasting, sponsorship sales, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization
• Evaluate when classical analytics/ML, GenAI, or agentic AI is the appropriate solution
• Lead architecture and solution-design workshops and present recommendations to senior and executive audiences
• Support proposals, SOWs, RFI/RFP responses, estimates, staffing models, and technical solution shaping
• Lead and mentor multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture
• Actively participate in client stand-ups, backlog refinement, executive readouts, and strategic planning
• Teach and transfer knowledge to client teams; documentation, reproducibility, and handover are expected parts of delivery
• Challenge client requests when the proposed approach does not solve the underlying business problem

Skills

• 7+ years of applied forecasting and data domain experience
• Proven experience leading at least two comparable forecasting engagements from discovery through production/handover
• Strong experience with comparable-unit / same-store-style forecasting approaches
• Expert-level multivariable regression, collinearity analysis, VIF interpretation, model tuning, selection, and holdout validation
• Strong understanding of sparse and zero-inflated datasets; must understand why nulls cannot be silently treated as zero
• Strong metric fluency, including R², WAPE, MAPE, and p-values, with the ability to explain metric selection in business language
• Deep understanding of data leakage and point-in-time feature correctness
• Strong Python and SQL skills and experience creating reproducible analytical workflows/notebooks
• Git and pull-request-based software delivery experience
• Strong Data Architecture and Solution Architecture capability across ingestion, transformation, modeling, security, governance, APIs, cloud, and production operations
• Strong understanding of ML, GenAI/LLMs, RAG, AI agents, and modern enterprise AI patterns
• Proven executive communication skills; must be able to present to non-statistical audiences using business outcomes first and methodology second
• Must be capable of explicitly communicating forecast/model limitations, uncertainty, and risk in plain language
• Proven client consulting and thought-leadership experience; able to teach methodology, not simply execute it
• Demonstrated experience leading senior client workshops, technical discovery, architecture discussions, and executive readouts
• Strong commercial judgment and ability to connect technical decisions to revenue, operational, or customer outcomes
• Participation in both internal meetings and external meetings via video calls, as necessary
• Ability to go into corporate or client offices to work onsite, as necessary
• Prolonged periods of remaining stationary at a desk and working on a computer, as necessary
• Ability to bend, kneel, crouch, and reach overhead, as necessary
• Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary
• Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary
• For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary
• For positions that require business travel and/or event attendance, a valid driver's license and acceptable driving record are required, as driving is an essential job function
• Preferred domain experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial/revenue analytics
• Hierarchical/mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI experience
• Strong Snowflake experience; Snowflake ML / Model Registry experience
• 10–12+ years overall Data, Analytics, AI, Architecture, or related technology experience

Benefits

• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
• Flexible Spending Accounts (Medical, Transit, and Dependent Care)
• Employer Paid Life Insurance and AD&D Coverages
• Health Savings account paired with our low-cost High Deductible Medical Plan
• 401(k) Safe Harbor Retirement plan with employer match with immediately vest

Company Overview

Company H1B Sponsorship